An Improved Sliding Window Method for Shot Change Detection

S. Li and M.C. Lee (PRC)

Keywords

Cut detection, thresholds, video process

Abstract

The conventional sliding window (CSW) method has long
been used in video segmentation for its adaptive
thresholding technique. A hard cut is detected based on
the ratio between the current feature value and its local
neighborhood in the sliding window. Yet it has a
relatively high rate of false alarm and missed cuts. This
paper proposes an improved sliding window method
which employs multi adaptive thresholds during the three
step processing of frame-by-frame discontinuity values.
The proposal method uses possibility values produced
from different thresholds to measure the degree of
possibility of a cut’s presence. Detecting a cut based on
possibility values, the method is more robust to
camera/object motions. Experiment results show that our
method has better detection accuracy than several other
reported methods.